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The number of steps for representative real-world, unsupervised walking data using a shoe-worn inertial sensor
  • Jesse Charlton ,
  • Calvin Kuo ,
  • Michael Hunt
Jesse Charlton
University of British Columbia

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Calvin Kuo
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Michael Hunt
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Abstract

Study estimated the number of real-world, unsupervised steps that need to be recorded before various gait-related outcomes show consistency (i.e., adding additional data would not change the outcome distribution). The data were collected over 1-week of walking by healthy adults and adults with symptomatic knee osteoarthritis using a shoe-embedded inertial sensor.
2023Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering volume 31 on pages 1566-1573. 10.1109/TNSRE.2023.3250612